Machine Learning Data Preprocessing Explained with Python (Google Colab)

Published: 23 August 2025
on channel: Engineer’s Point

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In this video, we cover Data Preprocessing in Machine Learning using Python (Google Colab) step by step. Data preprocessing is the most important step in any ML project, and here I’ll show you how to clean, transform, and prepare raw data before training models.

📌 What you’ll learn in this video:

Data Cleaning (handling missing values, duplicates, inconsistent data)

Encoding categorical features

Feature Scaling (Normalization & Standardization)

Feature Selection & Dimensionality Reduction basics

Splitting data into Training & Test sets

By the end of this tutorial, you’ll understand how to preprocess datasets for Machine Learning models efficiently.

👉 Tools used: Python, Pandas, NumPy, Scikit-learn, Google Colab

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#machinelearning #datapreprocessing #python #googlecolab #mltutorial

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